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Generating System-Level Responses from a Network of Simple Synthetic Replicators

Authors :
Douglas Philp
Tamara Kosikova
Jan W. Sadownik
University of St Andrews. School of Chemistry
University of St Andrews. EaSTCHEM
University of St Andrews. Biomedical Sciences Research Complex
Source :
Journal of the American Chemical Society. 139:17565-17573
Publication Year :
2017
Publisher :
American Chemical Society (ACS), 2017.

Abstract

The financial support for this work was provided by EaStCHEM and the Engineering and Physical Sciences Research Council (Grant EP/K503162/1). The creation of reaction networks capable of exhibiting responses that are properties of entire systems represents a significant challenge for the chemical sciences. The system- level behavior of a reaction network is linked intrinsically to its topology and the functional connections between its nodes. A simple network of chemical reactions constructed from four reagents, in which each reagent reacts with exactly two others, can exhibit up-regulation of two products even when only a single chemical reaction is addressed catalytically. We implement a system with this topology using two maleimides and two nitrones of different sizes—either short or long and each bearing complementary recognition sites—that react pairwise through 1,3-dipolar cycloaddition reactions to create a network of four length-segregated replicating templates. Comprehensive 1H NMR spectroscopy experiments unravel the network topology, confirming that, in isolation, three out of four templates self-replicate, with the shortest template exhibiting the highest efficiency. The strongest template effects within the network are the mutually cross-catalytic relationships between the two templates of intermediate size. The network topology is such that the addition of different preformed templates as instructions to a mixture of all starting materials elicits system-level behavior. Instruction with a single template up-regulates the formation of two templates in a predictable manner. These results demonstrate that the rules governing system-level behavior can be unraveled through the application of wholly synthetic networks with well-defined chemistries and interactions. Postprint

Details

ISSN :
15205126 and 00027863
Volume :
139
Database :
OpenAIRE
Journal :
Journal of the American Chemical Society
Accession number :
edsair.doi.dedup.....2315148a1a0c5031aa6e492ec6d0692b
Full Text :
https://doi.org/10.1021/jacs.7b09735